Building the future of research software as a first-class citizen in science; a global perspective
Creators
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Psomopoulos, Fotis
(Editor)1
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Erdmann, Chris
(Editor)2, 3
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Capella-Gutierrez, Salvador
(Editor)4
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Amodeo, Stefania
(Editor)5
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Barker, Michelle
(Editor)6
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Bos, Colette
(Editor)7
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Chue Hong, Neil
(Editor)8, 9
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Goble, Carole
(Editor)10
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Goggins, Sean
(Editor)11, 12
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Hartley, Kim
(Editor)6
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Katz, Daniel S.
(Editor)13
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Ledmyr, Helena
(Editor)14
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Manola, Natalia
(Editor)5
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Nielsen, Lars Holm
(Editor)15
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Sufi, Shoaib
(Editor)10
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Tedds, Jonathan
(Editor)16
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Treloar, Andrew
(Editor)17
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Van der Walt, Anelda
(Editor)18
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Windhager, Jonas
(Editor)2, 3
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1.
Centre for Research and Technology Hellas
- 2. SciLifeLab
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3.
Uppsala University
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4.
Barcelona Supercomputing Center
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5.
OpenAIRE Non-Profit Civil Partnership
- 6. Research Software Alliance (ReSA)
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7.
Netherlands eScience Center
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8.
University of Edinburgh
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9.
Software Sustainability Institute
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10.
University of Manchester
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11.
University of Missouri
- 12. CHAOSS Project
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13.
University of Illinois Urbana-Champaign
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14.
International Neuroinformatics Coordinating Facility
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15.
European Organization for Nuclear Research
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16.
ELIXIR
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17.
Australian Research Data Commons
- 18. Talarify
Description
This is a report that is the output of the EVERSE workshop, held as a satellite event to the International Research Software Funders Workshop, took place on Tuesday, September 10th, at SciLifeLab in Uppsala, Sweden.
During this full-day workshop the EVERSE project to showcased its work, received feedback from key stakeholders, and promoted networking and collaboration among attendees. The event specifically engaged Funders and Policy Makers to raise awareness of the challenges and opportunities in research software across communities, initiatives and projects.
The workshop attempted to tackle a wide range of open questions around research software, and the role of key stakeholders (such as funders and global/regional initiatives) to address them.
Files
International Research Software Funders Workshop_report.pdf
Files
(438.9 kB)
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